OBJECTIVES: We investigated whether eating behaviors were concordant among diverse sets of social ties. METHODS: We analyzed the socioeconomic and demographic distribution of eating among 3418 members of the Framingham Heart Study observed from 1991 to 2001. We used a data-classification procedure to simplify choices into 7 nonoverlapping patterns that we matched with information on social network ties. We used correlation analysis to examine eating associations among 4 types of peers (spouses, friends, brothers, and sisters). Longitudinal multiple logistic regression was used to evaluate evidence for peer influences on eating. RESULTS: Of all peer types, spouses showed the strongest concordances in eating patterns over time after adjustment for social contextual factors. Across all peers, the eating pattern most likely to be shared by socially connected individuals was "alcohol and snacks." Models estimating one's current eating pattern on the basis of a peer's prior eating provided supportive evidence of a social influence process. CONCLUSIONS: Certain eating patterns appeared to be socially transmissible across different kinds of relationships. These findings represent an important step in specifying the relevant social environment in the study of health behaviors to include eating.
OBJECTIVES: We investigated whether eating behaviors were concordant among diverse sets of social ties. METHODS: We analyzed the socioeconomic and demographic distribution of eating among 3418 members of the Framingham Heart Study observed from 1991 to 2001. We used a data-classification procedure to simplify choices into 7 nonoverlapping patterns that we matched with information on social network ties. We used correlation analysis to examine eating associations among 4 types of peers (spouses, friends, brothers, and sisters). Longitudinal multiple logistic regression was used to evaluate evidence for peer influences on eating. RESULTS: Of all peer types, spouses showed the strongest concordances in eating patterns over time after adjustment for social contextual factors. Across all peers, the eating pattern most likely to be shared by socially connected individuals was "alcohol and snacks." Models estimating one's current eating pattern on the basis of a peer's prior eating provided supportive evidence of a social influence process. CONCLUSIONS: Certain eating patterns appeared to be socially transmissible across different kinds of relationships. These findings represent an important step in specifying the relevant social environment in the study of health behaviors to include eating.
Authors: F B Hu; E Rimm; S A Smith-Warner; D Feskanich; M J Stampfer; A Ascherio; L Sampson; W C Willett Journal: Am J Clin Nutr Date: 1999-02 Impact factor: 7.045
Authors: W C Willett; L Sampson; M J Stampfer; B Rosner; C Bain; J Witschi; C H Hennekens; F E Speizer Journal: Am J Epidemiol Date: 1985-07 Impact factor: 4.897
Authors: Bruce Y Lee; Sarah M Bartsch; Yeeli Mui; Leila A Haidari; Marie L Spiker; Joel Gittelsohn Journal: Nutr Rev Date: 2017-01 Impact factor: 7.110
Authors: Duke Appiah; Pamela J Schreiner; Elizabeth Selvin; Ellen W Demerath; James S Pankow Journal: Acta Diabetol Date: 2019-03-19 Impact factor: 4.280
Authors: Brian K Lo; Meredith L Graham; Galen Eldridge; Maria R Donoso; Sara C Folta; David Strogatz; Miriam E Nelson; Lynn C Paul; Stephen A Parry; Rebecca A Seguin-Fowler Journal: Obesity (Silver Spring) Date: 2020-05-22 Impact factor: 5.002
Authors: Mark C Pachucki; Andrew J Karter; Nancy E Adler; Howard H Moffet; E Margaret Warton; Dean Schillinger; Bethany Hendrickson O'Connell; Barbara Laraia Journal: Appetite Date: 2018-03-27 Impact factor: 3.868
Authors: Quynh C Nguyen; Suraj Kath; Hsien-Wen Meng; Dapeng Li; Ken Robert Smith; James A VanDerslice; Ming Wen; Feifei Li Journal: Appl Geogr Date: 2016-07-01
Authors: Candyce H Kroenke; Yvonne L Michael; Xiao-Ou Shu; Elizabeth M Poole; Marilyn L Kwan; Sarah Nechuta; Bette J Caan; John P Pierce; Wendy Y Chen Journal: Psychooncology Date: 2016-01-08 Impact factor: 3.894